Embedded Application Engineer (DMS & Vision Systems)

As an Embedded Application Engineer specializing in DMS & Vision Systems, your role will involve the following responsibilities and qualifications: Role Overview: - Utilize your embedded software development experience, particularly with a strong expertise in QNX RTOS. - Demonstrate proficiency in C/C++, embedded tool chains, and cross-compilation techniques. - Implement computer vision and AI/ML frameworks such as OpenCV, TensorFlow Lite, ONNX, and SNPE. - Engage in hands-on camera interfacing and real-time image processing pipelines. - Apply deep understanding of embedded performance optimization and debugging specifically on QNX. - Navigate through automotive development processes with knowledge of functional safety and cybersecurity. Key Responsibilities: - Develop embedded software solutions with a focus on QNX RTOS. - Utilize C/C++ programming languages and embedded tool chains for system development. - Implement computer vision and AI/ML frameworks like OpenCV, TensorFlow Lite, ONNX, SNPE. - Work on camera interfacing and real-time image processing pipelines. - Optimize embedded system performance and debug issues on QNX. - Ensure compliance with automotive development processes, functional safety, and cybersecurity requirements. - Collaborate effectively within a team, communicate efficiently, and maintain accurate documentation. Qualifications Required: - Proficiency in embedded software development with expertise in QNX RTOS. - Strong programming skills in C/C++ and experience with embedded tool chains. - Familiarity with computer vision and AI/ML frameworks such as OpenCV, TensorFlow Lite, ONNX, SNPE. - Hands-on experience in camera interfacing and real-time image processing. - Knowledge of embedded performance optimization and debugging on QNX. - Understanding of automotive development processes, functional safety, and cybersecurity. - Excellent teamwork, communication, and documentation skills.,